code: def load_domain_from_params(
      domain_params,
      general_euclidean_kernel="",
      general_integral_kernel="",
      general_discrete_kernel="",
      general_discrete_numeric_kernel="",
      domain_constraints=None,
      domain_info=None,
  ):
      """Loads and creates a cartesian product object from a config_file."""
      # pylint: disable=too-many-branches
      # pylint: disable=too-many-statements
      # pylint: disable=too-many-locals
      list_of_domains = []
      general_euclidean_bounds = []
      general_euclidean_idxs = []
      general_integral_bounds = []
      general_integral_idxs = []
      general_discrete_items_list = []
      general_discrete_idxs = []
      general_discrete_numeric_items_list = []
      general_discrete_numeric_idxs = []
      raw_name_ordering = []
      # We will need the following variables for the function caller and the kernel
      index_ordering = (
          []
      )  # keeps track of which index goes where in the domain
      # iterate over the loop
      for idx, param in enumerate(domain_params):
          raw_name_ordering.append(param["name"])
          if param["type"] in ["float", "int"]:
              bound_dim = 1 if param["dim"] == "" else param["dim"]
              curr_bounds = [[param["min"], param["max"]]] * bound_dim
          elif param["type"] in [
              "discrete",
              "discrete_numeric",
              "boolean",
              "discrete_euclidean",
          ]:
              items_dim = 1 if param["dim"] == "" else param["dim"]
              if param["type"] == "boolean":
                  param_items = [0, 1]
              else:
                  param_items = param["items"]
              curr_items = [param_items[:] for _ in range(items_dim)]
          # Now append to relevant part
          if param["type"] == "float":
              if param["kernel"] == "":
                  general_euclidean_bounds.extend(curr_bounds)
                  general_euclidean_idxs.append(idx)
              else:
                  list_of_domains.append(
                      domains.EuclideanDomain(curr_bounds)
                  )
                  index_ordering.append(idx)
          elif param["type"] == "int":
              if param["kernel"] == "":
                  general_integral_bounds.extend(curr_bounds)
                  general_integral_idxs.append(idx)
              else:
                  list_of_domains.append(
                      domains.IntegralDomain(curr_bounds)
                  )
                  index_ordering.append(idx)
          elif param["type"] in ["boolean", "discrete"]:
              if param["kernel"] == "":
                  general_discrete_items_list.extend(curr_items)
                  general_discrete_idxs.append(idx)
              else:
                  list_of_domains.append(
                      domains.ProdDiscreteDomain(curr_items)
                  )
                  index_ordering.append(idx)
          elif param["type"] == "discrete_numeric":
              if param["kernel"] == "":
                  general_discrete_numeric_items_list.extend(curr_items)
                  general_discrete_numeric_idxs.append(idx)
              else:
                  list_of_domains.append(
                      domains.ProdDiscreteNumericDomain(curr_items)
                  )
                  index_ordering.append(idx)
          elif param["type"] == "discrete_euclidean":
              # We will treat the discrete Euclidean space differently
              list_of_domains.append(
                  domains.DiscreteEuclideanDomain(param_items)
              )
              index_ordering.append(idx)
          elif param["type"].startswith(("nn", "cnn", "mlp")):
              from ..nn.nn_domains import get_nn_domain_from_constraints
  
              list_of_domains.append(
                  get_nn_domain_from_constraints(param["type"], param)
              )
              index_ordering.append(idx)
          else:
              raise ValueError(
                  "Unknown domain type: %s." % (param["type"])
              )
      # Create kernel ordering and variable ordering
      kernel_ordering = [
          domain_params[idx]["kernel"] for idx in index_ordering
      ]
      name_ordering = [
          domain_params[idx]["name"] for idx in index_ordering
      ]
      dim_ordering = [
          domain_params[idx]["dim"] for idx in index_ordering
      ]
      # For general euclidean and integral domains
      if len(general_euclidean_bounds) > 0:
          list_of_domains.append(
              domains.EuclideanDomain(general_euclidean_bounds)
          )
          general_euclidean_names = [
              domain_params[idx]["name"]
              for idx in general_euclidean_idxs
          ]
          general_euclidean_dims = [
              domain_params[idx]["dim"]
              for idx in general_euclidean_idxs
          ]
          name_ordering.append(general_euclidean_names)
          dim_ordering.append(general_euclidean_dims)
          index_ordering.append(general_euclidean_idxs)
          kernel_ordering.append(general_euclidean_kernel)
      if len(general_integral_bounds) > 0:
          list_of_domains.append(
              domains.IntegralDomain(general_integral_bounds)
          )
          general_integral_names = [
              domain_params[idx]["name"]
              for idx in general_integral_idxs
          ]
          general_integral_dims = [
              domain_params[idx]["dim"] for idx in general_integral_idxs
          ]
          name_ordering.append(general_integral_names)
          dim_ordering.append(general_integral_dims)
          index_ordering.append(general_integral_idxs)
          kernel_ordering.append(general_integral_kernel)
      if len(general_discrete_items_list) > 0:
          list_of_domains.append(
              domains.ProdDiscreteDomain(general_discrete_items_list)
          )
          general_discrete_names = [
              domain_params[idx]["name"]
              for idx in general_discrete_idxs
          ]
          general_discrete_dims = [
              domain_params[idx]["dim"] for idx in general_discrete_idxs
          ]
          name_ordering.append(general_discrete_names)
          dim_ordering.append(general_discrete_dims)
          index_ordering.append(general_discrete_idxs)
          kernel_ordering.append(general_discrete_kernel)
      if len(general_discrete_numeric_items_list) > 0:
          list_of_domains.append(
              domains.ProdDiscreteNumericDomain(
                  general_discrete_numeric_items_list
              )
          )
          general_discrete_numeric_names = [
              domain_params[idx]["name"]
              for idx in general_discrete_numeric_idxs
          ]
          general_discrete_numeric_dims = [
              domain_params[idx]["dim"]
              for idx in general_discrete_numeric_idxs
          ]
          name_ordering.append(general_discrete_numeric_names)
          dim_ordering.append(general_discrete_numeric_dims)
          index_ordering.append(general_discrete_numeric_idxs)
          kernel_ordering.append(general_discrete_numeric_kernel)
      # Arrange all orderings into a namespace
      orderings = Namespace(
          index_ordering=index_ordering,
          kernel_ordering=kernel_ordering,
          dim_ordering=dim_ordering,
          name_ordering=name_ordering,
          raw_name_ordering=raw_name_ordering,
      )
      # Create a namespace with additional information
      if domain_info is None:
          domain_info = Namespace()
      domain_info.config_orderings = orderings
      if domain_constraints is not None:
          domain_info.constraints = domain_constraints
      # Create a cartesian product domain
      cp_domain = domains.CartesianProductDomain(
          list_of_domains, domain_info
      )
      return cp_domain, orderings
  
imports: from __future__ import print_function
  from argparse import Namespace
  from copy import deepcopy
  import numpy
  from warnings import warn
  from .None import domains
  from ..parse.config_parser import config_parser
  from ..utils.general_utils import flatten_list_of_objects_and_iterables, get_original_order_from_reordered_list, transpose_list_of_lists
  from ..utils.oper_utils import random_sample_from_euclidean_domain, random_sample_from_discrete_euclidean_domain, random_sample_from_integral_domain, random_sample_from_prod_discrete_domain
label_desc: Use image node_id 8 for calling a global function with example usage: load_domain_from_params(domain_params, general_euclidean_kernel, general_integral_kernel, general_discrete_kernel, general_discrete_numeric_kernel, domain_constraints, domain_info) and returns: cp_domain,  orderings